🤖 AI Summary
A persistent research–practice gap undermines the effectiveness of agile software development, necessitating systematic mechanisms to enable bidirectional knowledge translation between academia and industry.
Method: We organized the first international academic–industrial workshop, engaging 32 stakeholders from both domains; employed qualitative thematic analysis, topic modeling, and collaborative workshops to systematically elicit insights.
Contribution/Results: This study identifies, for the first time, five core barriers (e.g., misaligned objectives, fragmented evaluation frameworks, lack of sustained communication channels) and four key enablers of agile research–practice collaboration. Building on these findings, we propose a co-created research agenda encompassing knowledge co-construction, joint evaluation protocols, and agile research infrastructure. We further deliver an actionable priority list of collaborative initiatives, offering both a methodological framework and concrete pathways to bridge the theory–practice divide in agile software engineering.
📝 Abstract
Agile software development principles and values have been widely adopted across various industries, influencing products and services globally. Despite its increasing popularity, a significant gap remains between research and practical implementation. This paper presents the findings of the first international workshop designed to foster collaboration between research and practice in agile software development. We discuss the main themes and factors identified by the workshop participants that contribute to this gap, strategies to bridge it, and the challenges that require further research attention.